moeinheidari7829

Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

VideoBooth

[CVPR2024] VideoBooth: Diffusion-based Video Generation with Image Prompts

GiT

🔥 [ECCV2024] Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"

Groma

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

modelcomponents

Decomposing and Editing Predictions by Modeling Model Computation

Awesome-Video-Diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

CBIM-Medical-Image-Segmentation

A PyTorch framework for medical image segmentation

H-vmunet

[arXiv] The official code for "H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation".

video2game

Code release of Video2Game

U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

aiXcoder-7B

official repository of aiXcoder-7B Code Large Language Model

SAM-Adapter-PyTorch

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

MHGphormer

This repository hosts the code for the Metapath-based Heterogeneous Graph-Transformer Network (MHGphormer), proposed in our IEEE TCOM journal publication "Joint Spectrum, Precoding, and Phase Shifts Design for RIS-Aided Multiuser MIMO THz Systems".

Mamba-UNet

Mamba-UNet Zoo

RAGs

RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems

Latte

Latte: Latent Diffusion Transformer for Video Generation.

VideoMamba

[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding

Sigma

Python implementation of Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

Awesome_Mamba

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

groundingLMM

[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

zigma

A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)

finetune-anything

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

SegFormer

Official PyTorch implementation of SegFormer

bidiff

[CVPR'24] Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors

llm-viz

3D Visualization of an GPT-style LLM

Awesome-U-Net

Official repo for Medical Image Segmentation Review: The success of U-Net

nnUNet

DiffEcho

Codes for Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks

OpenDevin

🐚 OpenDevin: Code Less, Make More